AI in the Public Eye: Decoding Perception of Generative AI Through Natural Language Processing
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초록

This study examined public perceptions of generative AI through the analysis of user comments on YouTube news videos regrading generative AI from three major South Korean broadcasting networks. Using structural topic modeling, 56,708 comments from 105 news videos were analyzed. Among nine distinct topics that emerged, the top three prevalent topics centered on labor market change, AI control concerns, and service automation benefits. Temporal analysis revealed evolving discourse patterns. Employment-related concerns peaked after the release of ChatGPT's but subsequently declined; three topics gained increasing prominence including human-centered AI development, control concerns, and educational applications. These findings offer theoretical and practical implications for individuals, organizations, and institutions adopting generative AI.

키워드

generative AIpublic perceptionnatural language processingstructural topic modeling
제목
AI in the Public Eye: Decoding Perception of Generative AI Through Natural Language Processing
저자
정혜승성민정
DOI
10.20879/acr.2025.22.006
발행일
2025-04
저널명
Asian Communication Research
22
1
페이지
27 ~ 48